Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Formalizing inverse problems in the age of AI: possibilities, pitfalls, and an invitation
arXiv:2611.06962v1 Announce Type: new Abstract: Proof assistants such as Lean check mathematical proofs down to the axioms, and AI agents…
EvoWorld: Towards Out-of-Sight World Evolution in Generative Video Models
arXiv:2611.06748v2 Announce Type: replace-cross Abstract: Generative video models are increasingly used as visual world simulators, yet their primary strength lies…
Scaling Neural Motor Decoding via Decoupled Behavioral Pretraining
arXiv:2611.08263v1 Announce Type: cross Abstract: Recent neural decoding approaches achieve strong performance by training on large collections of paired neural-behavioral…
Knowing When to Teach: Learning from Teachable Prefixes in Multilingual Reasoning Distillation
arXiv:2611.08179v1 Announce Type: cross Abstract: On-Policy Self-Distillation (OPSD) improves reasoning by training a student on its own reasoning, using the…
Whiel: A Neurosymbolic Platform for Certified Relational Program Verification
arXiv:2611.05612v2 Announce Type: replace-cross Abstract: We present the Whiel (a contraction of Whi(le-R)el) system for Lean-certified reasoning about imperative relational…
Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions
arXiv:2611.05390v1 Announce Type: new Abstract: Multi-agent language-model systems often add a reviewer to improve an upstream agent’s decision. Yet a…
RoboTryOn: Synthesizing Dexterous Robot Demonstrations from Human Videos via Virtual Try-On
arXiv:2611.05163v2 Announce Type: replace-cross Abstract: Robot foundation models have shown remarkable performance in robot control, yet adapting them to a…
Today’s Work, Tomorrow’s Workforce: Incentivizing Learning in AI-Assisted Work
arXiv:2611.06346v1 Announce Type: cross Abstract: At work, people develop skills through experience: novices acquire skills by completing tasks, while experts…
Prism: Bidirectional Self-Teaching for Unified Multimodal Models
arXiv:2611.06343v1 Announce Type: cross Abstract: Unified Multimodal Models (UMMs) aim to support visual understanding and generation within a single model.…
Aligning Training and Rollout Policies for End-to-End FP4 RL on Mixture-of-Experts LLMs
arXiv:2611.04376v2 Announce Type: replace-cross Abstract: In this work, we study end-to-end FP4 reinforcement learning (RL) post-training for Mixture-of-Experts (MoE) large…